import numpy as np
import pandas as pd
s =pd.Series([1,'d','g'],index=([1,2,3]))
print(s)
a =pd.Series(np.arange(3),index=[1,2,3])
print(a)
data={'a':1,'r':23,'d':3}
b=pd.Series(data,index=['a','s','d'])
print(b)
df1=pd.DataFrame(np.arange(12).reshape(3,4))
print(df1)
data2=np.arange(12).reshape(3,4)
df2=pd.DataFrame(data2,index=['a','b','c'],columns=['c1','c2','c3','c4'])
print(df2)
data3={'month':['we','da','ad'],
       'income':[400,200,300],
       'tax':[200,100,222]}
df3=pd.DataFrame(data3)
print(df3)